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Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction01:07

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: Jul 9, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
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3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

Prostate implant reconstruction with discrete tomography.

Xiaofeng Liu1, Ameet K Jain, Gabor Fichtinger

  • 1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|December 7, 2007
PubMed
Summary

This study introduces a new discrete tomography method for prostate implant reconstruction using limited X-ray images. The technique accurately locates seeds, achieving near 100% reconstruction with high precision.

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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Last Updated: Jul 9, 2026

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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Published on: April 9, 2019

Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Anatomy

Background:

  • Accurate prostate implant reconstruction is crucial for effective radiotherapy.
  • Limited X-ray projections pose challenges for traditional 3D reconstruction methods.

Purpose of the Study:

  • To develop a discrete tomography method for precise prostate implant reconstruction using minimal X-ray images.
  • To improve seed localization accuracy and reduce false positives in 3D reconstructions.

Main Methods:

  • Utilized discrete tomography with back-projection and distance maps from limited X-ray projection images.
  • Developed an optimal geometry coverage model for eliminating false positive seeds.
  • Seed locations extracted directly from the reconstructed 3D voxel volume.

Main Results:

  • Achieved near 100% correct seed reconstruction from only six X-ray images.
  • Demonstrated an average reconstruction accuracy of 0.86 mm (standard deviation = 0.46 mm).
  • Method does not require exact seed segmentation from initial X-ray images.

Conclusions:

  • The developed discrete tomography method offers a robust and accurate solution for prostate implant reconstruction.
  • This approach enhances precision in radiotherapy planning by improving seed localization accuracy.
  • The method's efficiency with limited imaging data makes it suitable for clinical applications.